Samuel Gerber
Senior Research Scientist at HeartFlow, Inc
Fayetteville, West Virginia, United States
Summary
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Senior🎓
Top SchoolSamuel Gerber is a Senior Research Scientist with nine years of experience bridging software engineering and computer science to solve complex imaging and data analysis problems. He specializes in image analysis, machine learning, visualization, and optimization, with a penchant for modeling and visually exploring high-dimensional datasets to reveal hidden structure. At Kitware he led NIH-funded research and developed real-time brain-trauma detection from ultrasound, securing an STTR award and publishing competitive MICCAI work. Currently at HeartFlow, he applies those research-to-product skills to healthcare problems while contributing to open-source projects like ITK—where he improved LBFGS documentation, integrated a modern libLBFGS C++ implementation, and added multithreading to registration metrics. His background combines rigorous PhD-level research with practical engineering that moves algorithms into usable, high-impact tools.
9 years of coding experience
6 years of employment as a software developer
Visiting Assistant Professor, Mathematics, Visiting Assistant Professor, Mathematics at Duke UniversityThe University of Utah
Github Skills (9)
itk10
optimizer10
c-language10
cprogramming-language10
optimizers10
documentation10
medical-imaging9
open-source8
python4
Programming languages (6)
Github contributions (5)
InsightSoftwareConsortium/ITK
Apr 2017 - Mar 2021
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:3 reviews, 15 commits, 9 PRs in 3 years 11 months
Contributions summary:Samuel primarily contributed to the documentation of the ITK library, specifically focusing on the LBFGS optimizer. They added detailed descriptions of the algorithm and its parameters, fixed typos, and updated equations within the documentation. Furthermore, the user integrated a newer C++ implementation of the libLBFGS optimizer and addressed compilation issues. They also refactored and added multithreading support to the point set registration metric.
pythonitkcomputer-visionopen-sciencescientific
KitwareMedical/UTM
Mar 2021 - Apr 2021
Contributions:47 commits, 371 pushes, 1 branch in 24 days
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